8,484 Works

Minimal Molecular Simulation Tool

Ellad Tadmor

Archimedes, GNU Monte Carlo simulator

Jean Sellier

ReaxFF_class_code

Michael Russo

ABINIT

Amritanshu Palaria

MIT Atomic Scale Modeling Toolkit

Daniel Richards

ReaxFF_class_code

Michael Russo

ABINIT

Amritanshu Palaria

Crystal Viewer Tool

Saumitra Mehrotra

Intercellular synthetic biology

Ting Lu, John Feser, Nahil Sobh & Pratik Naik
Synthetic biology tool for engineering patterning systems.

[Illinois]: Error Gradient Estimations Due to Perturbation of One Weight at a Time

AbderRahman Sobh
This tool trains two-layered networks of sigmoidal units to associate patterns using perturbation of one weight at a time.

Two leaky integrators in series

Lisa Sproat, Nahil Sobh & John Feser
Implements a model having two units (leaky integrators) in series, each with recurrent, excitatory self-connections allowing the units to exert positive feedback on themselves

Crystalline Cellulose - Atomistic Toolkit

Mateo Zuluaga, Robert Moon, Fernando Dri & Pablo Zavattieri
Crystalline Cellulose - Atomistic Toolkit

[Illinois]: Direction Selectivity

Bara Saadah, Nahil Sobh & AbderRahman Sobh
This tool implements a simple direction selective network.

[Illinois]: Predict Correct Set Up

Bara Saadah, Nahil Sobh & AbderRahman Sobh
This tool sets up a predictor-corrector model of target tracking

1D Drift Diffusion Model for Crystalline Solar Cells

Dragica Vasileska & Xufeng Wang
Simulate a 1D solar cell of crystalline material with drift diffusion equations

[Illinois]: Avoidance Learn Simulation with 'Call' Neuron

AbderRahman Sobh
This script simulates avoidance learning as a reinforcement learning with two upper motoneurons (sumo and fumo) and one "call" neuron.

[Illinois]: Error Gradient Estimations Due to Perturbation of One Weight at a Time

AbderRahman Sobh
This tool trains two-layered networks of sigmoidal units to associate patterns using perturbation of one weight at a time.

[Illinois]: Avoidance Learn Simulation with 'Call' Neuron

AbderRahman Sobh
This script simulates avoidance learning as a reinforcement learning with two upper motoneurons (sumo and fumo) and one "call" neuron.

Predictor-corrector simulation of parabigeminal nucleus neural responses

Lisa Sproat
Implements a predictor-corrector simulation of the responses of neurons in the parabigeminal nucleus

Two leaky integrators in series

Lisa Sproat & John Feser
Implements a model having two units (leaky integrators) in series, each with recurrent, excitatory self-connections allowing the units to exert positive feedback on themselves

[Illinois] KohonenSOM

Bara Saadah & Nahil Sobh
This tool implements the Kohonen self-organizing map (SOM) algorithm

[Illinois]: Error Gradient Estimations Due to Parallel Perturbation of Weights

AbderRahman Sobh
This tool trains two-layered networks of sigmoidal units to associate patterns using simultaneous perturbation of weights.

MEMSLab

Oluwatosin Adeosun

Registration Year

  • 2022
    612
  • 2021
    872
  • 2020
    518
  • 2019
    480
  • 2018
    500
  • 2017
    623
  • 2016
    890
  • 2015
    1,945
  • 2014
    519
  • 2013
    1,361

Resource Types

  • Software
    3,389
  • Collection
    3,069
  • Dataset
    1,839
  • Text
    7
  • Interactive Resource
    1
  • Other
    1
  • Sound
    1

Affiliations

  • Purdue University West Lafayette
    3
  • University of Alberta
    1
  • Sandia National Laboratories
    1
  • Polytechnic University of Milan
    1
  • National Technical University of Athens
    1
  • Lawrence Livermore National Laboratory
    1
  • Public Works Research Institute
    1
  • California Department of Transportation
    1
  • State University of New York Polytechnic Institute
    1
  • Swiss Federal Institute of Technology in Zurich
    1